Management Papers

This collection houses research from the Waikato Management School.

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Now showing 1 - 5 of 1174
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    Te Nahi o Te Taniwha: Teeth of the Taniwha
    (Report, Ngã Pae o te Mãramatanga, 2022) Rout, Matthew; Spiller, Chellie; Reid, John; Mika, Jason; Haar, Jarrod
    This report outlines the scope of the project He oranga whānau: mahi ngātahi Whānau livelihoods within the context of work and Māori economies of wellbeing, which has been funded by Ngā Pae o te Māramatanga—the New Zealand Māori Centre of Research Excellence. Its purpose is to set the direction and design for the research project. To say the creation of such economies will be a complex task is an understatement. Three factors make this task a ‘wicked problem’.
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    Entrepreneurial Disappointment: Let Down and Breaking Down, a Machine-Learning Study
    (Journal Article, SAGE PUBLICATIONS INC, 2020-10-23) Williamson, Amanda Jasmine; Drencheva, Andreana; Battisti, Martina
    Despite its importance, our understanding of what entrepreneurial disappointment is, its attributions, and how it relates to depression is limited. Drawing on a corpus of 27,906 semi-anonymous online posts, we identified entrepreneurial disappointment, inductively uncovered its attributions and examined how depression differs between attributions. We found that posts with internal, stable, and global disappointment attributions (e.g., not fitting entrepreneurial norms) are, on average, higher in depression symptoms than posts with external, unstable, and specific disappointment attributions (e.g., firm performance). Our findings offer novel theoretical and methodological avenues for future research on entrepreneurs’ affective experiences and mental health.
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    Tax avoidance and firm risk: evidence from China
    (Journal Article, WILEY, 2021-03-03) Cao, Yaowen; Feng, Zhuoan; Lu, Meiting; Shan, Yuqiang
    Prior literature (e.g., Guenther et al., 2017) documents puzzling evidence revealing that tax avoidance activities do not affect firm-specific risk. Using an extended US sample, we find that lower cash effective tax rates (ETRs) are associated with higher future return volatility, supporting the traditional view of tax risk-return trade-off. In sharp contrast to the US evidence, our analysis of Chinese firms suggests that Chinese state-owned enterprises (SOEs) with lower cash and GAAP ETRs tend to have lower future risk. In addition, we adopt a difference-in-differences approach based on the variations generated by two exogenous, antitax avoidance regulations in China but find no evidence suggesting a causal relationship between tax avoidance and firm risk. Overall, our results suggest that the relationship between tax avoidance and risk varies across countries, sample periods and tax aggressiveness measures, and we highlight the importance of addressing the endogenous nature in future research.
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    Local FinTech development and stock price crash risk
    (Journal Article, Elsevier BV, 2023-05) Wang, Xinyue; Cao, Yuqiang; Feng, Zhuoan; Lu, Meiting; Shan, Yaowen
    This study investigates the effect of financial technology (FinTech) development on stock price crash risk. We show that the development of FinTech can inhibit management from deliberately hiding bad news and alleviate information asymmetry, thereby reducing stock price crash risk. This effect is more pronounced among non-state-owned enterprises, firms with poor information environments and low-quality internal controls, and those in competitive industries and regions with high marketization. Overall, these findings suggest that FinTech development can mitigate the deliberate concealment of bad news by management and improve the timeliness of disclosure, leading to lower risks faced by investors.
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    Capturing passion expressed in text with artificial intelligence (AI): Affective passion waned, and identity centrality was sustained in social ventures
    (Journal Article, Elsevier BV, 2021-11) Williamson, Amanda Jasmine; Battisti, Martina; Pollack, Jeffrey M.
    Entrepreneurial passion can influence individual well-being and improve firm-level outcomes, yet little is known about how to rapidly detect a change in passion from entrepreneurs’ communication. We draw on advancements in both the passion literature and artificial intelligence (AI) methods, to capture entrepreneurial passion expressed for founding a venture at different points in time. Specifically, we developed an AI algorithm to recognize identity-based passion (identity centrality) from training data, comprised of eight hours of transcribed interviews with entrepreneurs (achieving 84% accuracy), and detect affective passion (intense positive feelings) with sentiment analysis. Application of these two novel measurement approaches, to longitudinal interview text with early-stage entrepreneurs (N=11, two time periods) in a six-month social venture accelerator, indicate that intense positive feelings decline while identity centrality varies. We conclude by outlining opportunities for future research.
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